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PREDICT: Omics-based models for prediction of hybrid performance in oilseed rape

预测：基于组学的油菜杂交性能预测模型

基本信息

批准号：
234585441
负责人：
Professor Dr. Thomas Altmann
金额：
--
依托单位：
Lehrstuhl für Pflanzenzüchtung
依托单位国家：
德国
项目类别：
Research Grants (Transfer Project)
财政年份：
2013
资助国家：
德国
起止时间：
2012-12-31 至 2016-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/234585441?language=en
关键词：
PREDICT Omics based models prediction

项目摘要

Heterosis, or hybrid vigour, is an important phenomenon for improving the yield performance of outcrossing crops. In oilseed rape (Brassica napus L.), hybrids today make up the major share of the international seed market. However, in comparison to other important hybrid crops like maize, oilseed rape shows relatively low levels of yield heterosis. The oilseed rape breeding industry therefore has considerable interest in a more optimal utilisation of heterosis for improvement of hybrid performance. The aim of this project is to develop omics-based prediction models for seed yield heterosis in elite oilseed rape hybrids. Models for prediction of hybrid performance will be developed and tested by comparing DNA sequence, metabolite and transcriptome data from a large set of elite parental lines with comprehensive information from developmental phenotyping and field-based yield evaluations of their F1 offspring. Genome-wide single-nucleotide polymorphism (SNP) genotyping will be achieved using the new B. napus 60k SNP Infinium array, while the transcriptomic, metabolomic and phenomic analyses will take advantage of the latest mRNA sequencing, mass-spectrometry and high-throughput phenotyping technologies, respectively. The underlying hypothesis, derived from previous observations, is that developmental and yield heterosis are influenced by common regulatory factors and that specific allelic combinations of these factors, together with the metabolite and gene expression profiles they elicit, are associated with improved heterosis. We aim to identify an "omics selection" profile, along with corresponding analytical and statistical methods, that can together be used to streamline breeding processes by pre-selecting parental lines with highest potential for top performing new hybrid combinations. Identification of genomic, transcriptomic, or metabolomic predictors will furthermore support the advancement in our understanding of the molecular processes and mechanisms involved in heterosis manifestation in oilseed rape. By collaborating with two leading German producers of hybrid oilseed rape varieties (Norddeutsche Pflanzenzucht Hans-Georg Lembke KG and Deutsche Saatveredelung AG) we will transfer basic research on a fundamental and high-value plant breeding process into a system with a strong commercial potential for improvement of hybrid breeding.

杂种优势或杂种优势是提高异交作物产量表现的重要现象。在油菜（Brassica napus L.）中，杂交种目前占国际种子市场的主要份额。然而，与其他重要的杂交作物如玉米相比，油菜的产量杂种优势水平相对较低。因此，油菜育种工业对更优化地利用杂种优势以改善杂交性能具有相当大的兴趣。本项目旨在建立基于组学的油菜杂交种产量杂种优势预测模型。通过比较大量优良亲本系的DNA序列、代谢物和转录组数据，以及来自其F1后代发育表型和田间产量评估的综合信息，将开发和测试预测杂交性能的模型。将使用新的B实现全基因组单核苷酸多态性（SNP）基因分型。napus 60 k SNP Infinium阵列，而转录组学、代谢组学和表型组学分析将分别利用最新的mRNA测序、质谱和高通量表型分析技术。从以前的观察结果得出的基本假设是，发育和产量杂种优势受到共同调控因素的影响，这些因素的特定等位基因组合，以及它们引起的代谢产物和基因表达谱，与杂种优势的改善有关。我们的目标是确定一个“组学选择”的概况，沿着，随着相应的分析和统计方法，可以一起使用，以简化育种过程中预先选择的最高潜力的新的杂交组合的亲本系。基因组学、转录组学或代谢组学预测因子的鉴定将进一步支持我们对油菜杂种优势表现的分子过程和机制的理解。通过与德国两家领先的杂交油菜品种生产商（Norddeutsche Pflanzenzucht Hans-Georg Lembke KG和Deutsche Saatveredelung AG）合作，我们将把基础和高价值植物育种过程的基础研究转移到一个具有强大商业潜力的系统中，以改进杂交育种。